considering energy
Here’s my rant about energy and how we’d typically treat it in an introductory physics class. We might say something about “energy” and say that it has something to do with “work,” and then we’ll turn around and define “work” as having to do something with “energy.” This is circular and non-helpful. More importantly, it doesn’t really tell you anything that you would really want to know about energy and why it’s important.
So I start with food.
What did you eat for dinner most recently? If you’re lucky, you had something that filled you up, maybe tasted good, and ultimately served some kind of purpose. In fact, you can’t be alive and function if you don’t eat. If you have some spaghetti with meatballs and tomato sauce, you can eventually tie any of these back to the Sun. Pasta was once wheat that grew because of the Sun; and even the beef in the meatballs sustained itself from eating alfalfa which got its energy from the Sun. Almost anything you eat has a similar history.
We also know that all of those foods have some kind of “Calorie” value. These are “food Calories,” or “kilocalories,” which is 1000 calories (what I’d call “chemistry calories”). We can compare these to other units that measure similar things, but for now we simply know that we eat food for these Calories, and these Calories are supplied by the Sun.
So here’s an interesting table I got from a textbook for another course. In it, you’ll see a lot of confusing and strange information about different materials and processes. It’s worth staring at for 5 minutes or an hour or a lifetime.
The table and the comparison of different “energy densities” brings up a lot of questions. What it starts to drive home, though, is that this thing called “energy” comes in lots of different forms. Coal, butter, ethanol, and chocolate chip cookies all have similar amounts of energy per gram, but they are wildly different in how we use them. Or are they? We can only eat a couple of these, and others we use in other processes that warm things up or move things around, but apparently they’re pretty similar in terms of how much energy we get from them. Also, they, too all get their energy from the Sun if you go back far enough.
(You can think about that last sentence for a while. It’s worth it. I’ll wait.)
So, we still don’t really know what energy is all about, but we can play with the units of Calories, joules, watt-hours and the like. You might know that you get charged for electricity by assessing how many “kilowatt-hours” you use in a month. This is worth thinking about for a bit. A “watt” is a rate, like a speed, for energy, and if we trace it do its fundamental roots it’s shorthand for joules per second.
You can think about this for a bit, too. It’s important. You’ll also get to practice with this later.
We then play with this simulation, particularly to show that “height” is a quantity that is conserved for something skating back and forth on any variation of a “U” you can imagine. This means that the height is what we can use to keep track of what the skateboard can do. Similarly, the higher the height, the fast the speed at the bottom. These go hand in hand.
If you haven’t had a chance, you really ought to play with this. There are features we didn’t use in class but are really useful.
Great. At this point you can open up a book or ask a wisened physics professor to express how we keep track of energy in terms of stored energy (potential), moving/acting energy (kinetic), and processes by which we transfer energy (work). There are equations for this, but the big idea is that energy is something we account for, and by doing this we can solve for really complicated features of some system. Like for example, no matter what path a skateboard takes on the way down a (frictionless) ramp, its starting height will exactly predict a certain speed at the bottom, as well as a height on the other side. This is A Really Big Deal. You’ll use it a lot now, basically by just keeping track of this conserved quantity of energy in all its different forms.
But then we can look again a energy in the real world, maybe the food you eat or the energy table above, or this look at the U.S. electric grid and its sources of energy, courtesy of Dan Schroeder. This is worth playing with, zooming in and out and scrolling around the country, as well as going back in time. You can see how energy is used (remember the coal in the energy table?) and many other sources for energy — even though most of these, too, come from the Sun, in one way or another.
If you poke around the grid, you’ll notice that each power plant has information about its capacity, owner, etc. This is worth taking a look at, especially as you notice how energy use changes over time.
What’s the point of all this? I want to make sure we recognize not only that “energy” is some chapter in a textbook that gives us a way to solve problems, but that it’s a real quantity that we use through our own food as well as the electricity that runs our homes, and lots of other things as well. We can find these and then start to make sense of them. Energy is a quantity that is not just some abstract concept in physics, but something we use across all disciplines in science to figure out if and how anything functions. This is just our first step in putting this all together.
levitating bubbles
We had some extra dry ice here today that was being used for a lab where we needed something really really cold. But the other interesting thing about dry ice is that it turns into a gas. I let it sit at the bottom of this glass tank for a few minutes, and then I removed a lid and blew a few bubbles so that they went into the tank:
Later, I set things up to be just a little fancier:
popping popcorn
In a typical class or Friday night, I’ll pop popcorn and wonder: What happens to the stuff of the popcorn kernel as it is transformed into the morsel of popped corn that I can eat?
Those two “states” of the corn are really different. One I can eat easily, the other seems impossible and would break my teeth. So what happens to that stuff as it’s heated? In particular, does the stuff that’s there stay the same or does it change? I know that it’s different in some way, but how do I model the matter of this popcorn and where it goes (or stays)?
There are probably lots of great models and lots of great ways to think about this. As you do, you could use your model to predict if the kernel changes its mass as it is popped, or does it stay the same? And, if it does change, does it get more or less massive? And, regardless of what happens, what does that tell us? How do our models help explain what’s going on as popcorn is popped?
I documented this mini-investigation in a video:
Full video of my popcorn investigation.
I’m adding some space here so that there aren’t any spoilers. Below are a few screen grabs of the video that capture some key moments in my science and acting career.
Pointing out the kernel. It’s hard to see, because it’s small. That’s actually part of the challenge.
I thought I could weigh a single kernel to compare to after it popped. It’s really hopeless because the kernel is too small, and …
…wouldn’t it be a better idea anyway to have a bunch of kernels, in case some don’t pop or something else weird happens. Plus, this is easier to weigh.
The bucket by itself was 95 grams, but with the added kernels the total mass was 166 grams. So that means that the kernels by themselves were 71 grams, but it’s easy to just keep track of the popcorn in the bucket since that stays the same.
Live action! Pouring kernels into the air popper! (It’s probably important that I was using an air popper without any butter or oil.)
Popcorn! In the video, I speed up this part of the footage, which is kind of fun and convenient.
[Drumroll, suspense, etc.]
Final massing of the popped popcorn with the bucket. What happened?
A summary of our data.
Huh.
That’s a loss of a few grams. Doesn’t seem like much, but it’s pretty substantial in comparison to what we started with–about a 10% loss of stuff. So where did that go? It could be mistake, but this was monitored and it’s repeatable. We also talked about it being air in the kernels, or some kind of chemical reaction, or some loss of liquid water that could have been in the kernels. Or maybe something else.
There are a few things that could be helpful to know. For example, the density of air is something like 0.001 gram per cubic centimeter; and the density of water is about 1 gram per cubic centimeter. That helps us think about how much stuff we could lose of either of these and what we might expect that to look like.
This quick investigation was done with an air popper, but when I pop popcorn at home I do it over a stove and have a glass lid. This way I can see a little bit more of what’s going on. So, the other thing I could contribute is what it looks like when I pop popcorn. I recorded the video and put it on the internet, because I figured that was what the world needed:
Here’s few highlights from the video, just for posterity:



a walk
I spent part of the early evening with some science teaching students walking up through the trees to the former shoreline of Lake Bonneville. Their task was to make observations of phenomena they could use to center science learning around. I took photos of some of what caught my attention.

























































motion analysis: freefall
Adam went to the trouble of throwing a ball up into the air in his office. The ball not only went up; it came back down. Here’s video of the event:
(It’s also available on YouTube, here.)
You can study this motion in a variety of ways. In another video example, I suggest that you analyze the frames while using some kind of timing device. That could work here, especially if you can advance the video one frame at a time. Another way of doing this is with some video tracking software, such as JS Track, available online as a web based application. To use this, do the following, OR take a look at this video I made showing you the steps I use.
- Download the video that I’ve provided above; or, you can record your own!
- In JS Track, you’ll be prompted to upload the video file there. It’s best if the video is in mp4 format. That’s pretty natural for a lot of videos you record, but sometimes you’ll want to find a way to convert it by doing a quick search on the internet.
- Within JS Track, you can advance the video one frame at a time, starting with the first frame that’s of interest. I usually start with when the ball first leaves my hand. Then, you can leave a mark or point on your object (the red ball, in this case), and then the program will advance the video one frame. If you keep repeating this, you can get a collection of points.
- JS Track will then provide you with a bunch of position and time data, just like we created with rolling motion in class. It has a spreadsheet you can use if you download a copy and edit it for your own use, either in Google Sheets or Excel or something similar.
There’s more to talk about, but that’s exactly what the point of this assignment could be!
noticings and wonderings of scientists blowing bubbles
I dropped by the offices of scientists around my building here at Weber State University and asked them to blow bubbles and tell me about the things they notice and wonder. At the same time, I recorded video of these episodes on my phone. Here’s a quick 10-minute compilation of the things they did, noticed, and wondered.
My guess is that the things you’ve observed and wondered are really similar to these scientists.
Special thanks to (in order of appearance):
- Dr. Kristin Rabosky, Department of Physics and Astronomy
- Dr. Bridget Hilbig, Department of Botany and Plant Ecology
- Dr. Brandon Burnett, Department of Chemistry and Biochemistry
- Dr. Elizabeth Balgord, Department of Earth and Environmental Sciences
- Dr. C. David Walters, Department of Mathematics
- (all at Weber State University, College of Science)
It’s no secret that I enjoy blowing bubbles and I’ve made good use of them in classes, workshops, and informal learning settings, as I describe here. In all of these, I’ve made the case that:
- Bubbles have way more to observe and question than you’d at first imagine. That’s true of most things. The more you look the more you realize there’s more to see, and you could spend a lifetime learning more.
- The things that these professional scientists see with their trained scientific eyes are usually the same kinds of things that teachers and kids see and wonder.
- These scientists look like real people because they are. They look like they are having fun, even if they aren’t always completely comfortable while I’m there asking them to try something new while I’m running the camera.
drum vibration in slow motion
Just because we can, I recorded this video of the outer membrane of a bass drum vibrating. (The mallet actually hits the opposite side of the bass drum, and this side vibrates on its own, sympathetically.)
What do you notice? What patterns do you see? What questions do you have? For me, I wonder: How does this surface vibrate if it isn’t being hit by the mallet? What’s happening inside this drum?
where do trees come from?
This is one of my very most favorite photos in the world, taken by Karyn, of our kids in the Redwoods many years ago:

I stare at this photo (it’s on our wall in our living room) quite a bit and it gives me lots to wonder about. Right now I’m simply wondering: “Where do the trees come from?”
hair’s width
The width of a human hair is pretty small, so you probably don’t have a good way of measuring it directly. However, you can use other methods, and these are the same as how you might study materials and the arrangement of molecules that you can’t see directly. We use the diffraction of light around these small structures, and we end up measuring how the light interferes as it goes through our object.
In my case, I had to pluck one of my hairs from my head. I don’t normally pull out my own hair, but this is for physics and for my students. I affixed the hair at the opening of the laser:
When I turn the laser on, you can see that it goes through and around the hair:
Here are some details about my laser for those who may be doing this calculation along with me.
Normally, this green laser would make a very precise dot, as Gus the cat is observing here:
However, with the hair in the path of the coherent green light, a diffraction pattern was formed. I lined things up so that the hair was running horizontally across the aperture of the laser, making the diffraction pattern align vertically. The staircase made a good place to set this all up, and one of my favorite books was a good prop for lining up the laser so that the pattern could be displayed on the wall above the stairs.
The diffraction pattern on the wall was in a good place for me to look at and measure it closely:
The central maximum is at the 50cm mark on this meter stick, with minima extending on either side. The projection of this pattern is 360 cm away from the aperture of the laser where the hair is taped. Here’s my schematic:
Based on all of this, how can you calculate the width of my hair?
turkey cooking times
Over the last few years, I’ve asked students and friends to send me their turkey cooking data. In particular, I ask for the time and temperature of the cooking, along with the weight of the turkey. I also add a place for extra notes, like how the turkey was prepared, if it was cooked in something besides an oven (e.g., a deep fryer or smoker), if it was stuff, covered, or otherwise modified.
This is imperfect, because everyone has all kinds of variations and conditions and measurement imperfections. But here’s a collection of data, mostly from 2020, but also from a few years past:

I’ll explain some details:
- I used most of the data I was given. Some submissions had numbers that were in the wrong units or just typos. I didn’t rule out too much, but if there was something that approximated the surface temperature of the sun or would have taken 4 years or would have killed an entire family, I discarded it. There weren’t too many in this camp, though. Fortunately. There probably are still some errors in here, because, well: science, meet real world conditions. 5th graders deal with this in science fair, so we might as well be brave enough to face it here.
- There are different methods of cooking all mixed together, and the people who used stuffing are mixed in with the non-stuffing people. That definitely causes scatter. But as I stare at this I think it’s less of an issue than I’d thought at first. It helps to have a lot of data.
- And there are different cooking temperatures. I highlighted the low temperatures (under 300 degress F) as blue, and the high temperatures (400+ degrees F) as red. And you see where they generally fall: red dots, with more thermal energy around the turkey, take less time than the general trend, and the blue dots, with less energy around the turkey, take more time than the trend.
- Most important, in spite of all all those weirdities, you can see there’s a definite trend: Bigger turkeys take longer to cook, but not in a linear fashion. My friend and very good physicist, Colin Inglefield, gave an entire physics seminar on this very thing several years ago, and now I have empirical data to help him out. If you’re interested, the Exploratorium walks through a nice explanation of this non-linear relationship, here:
https://www.exploratorium.edu/food/perfect-turkey
Thanks to all of you who contributed data and/or asked others to submit data. I’ll continue to do this and potentially update this page as results pour in each year.